Toward Disaster-Resistant Cellular Communication Networks Based on Network Capacity Scalability

Disasters severely damage cellular network infrastructures, weakening network communication service capability (CSC) and impeding post-disaster efforts. Therefore, evaluating network ability to resist disasters and recovering CSC are crucial. In this paper, we introduce a novel metric, network capacity scalability (NCS), defined by spatial throughput (ST) and its standard deviation to characterize CSC in disasters. By revealing the impact of disasters on NCS, network resistance to disasters can be reflected. Specifically, a critical disaster intensity (CDI) is derived, below which the effect of disasters on NCS is negligible and networks are disaster-resistant. However, NCS rapidly deteriorates once CDI is exceeded, necessitating recovery strategies. In response, we design a CSC compensation strategy where uncrewed aerial vehicle access points (UAPs) are supplemented, and a critical UAP density maximizing NCS is provided. Notably, compared to ST, NCS can more promptly reflect CSC deterioration, enabling rapider strategy implementation. Moreover, we also demonstrate that fluctuating burst service superlinearly worsens NCS, revealing the network’s poor tolerance to burst service. In this light, we propose a coverage adjustment strategy for terrestrial base stations and UAPs. Simulation results show that the negative effect of burst service can be significantly mitigated, which verifies the effectiveness of the proposed strategy.

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Publication Details

Journal
IEEE Transactions on Wireless Communications
Published
2025-03-14
DOI
https://doi.org/10.1109/twc.2025.3546675
Citations
3
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
2.19
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article

Toward Disaster-Resistant Cellular Communication Networks Based on Network Capacity Scalability

Jiandong Li, Min Sheng, Tony Q. S. Quek, Junyu Liu et al.
3 citations
IEEE Transactions on Wireless Communications
Advanced MIMO Systems Optimization
2.19
article

Toward Disaster-Resistant Cellular Communication Networks Based on Network Capacity Scalability

Jiandong Li, Min Sheng, Tony Q. S. Quek, Junyu Liu, Xuhui Chen
article en
3 citations

Abstract

Disasters severely damage cellular network infrastructures, weakening network communication service capability (CSC) and impeding post-disaster efforts. Therefore, evaluating network ability to resist disasters and recovering CSC are crucial. In this paper, we introduce a novel metric, network capacity scalability (NCS), defined by spatial throughput (ST) and its standard deviation to characterize CSC in disasters. By revealing the impact of disasters on NCS, network resistance to disasters can be reflected. Specifically, a critical disaster intensity (CDI) is derived, below which the effect of disasters on NCS is negligible and networks are disaster-resistant. However, NCS rapidly deteriorates once CDI is exceeded, necessitating recovery strategies. In response, we design a CSC compensation strategy where uncrewed aerial vehicle access points (UAPs) are supplemented, and a critical UAP density maximizing NCS is provided. Notably, compared to ST, NCS can more promptly reflect CSC deterioration, enabling rapider strategy implementation. Moreover, we also demonstrate that fluctuating burst service superlinearly worsens NCS, revealing the network’s poor tolerance to burst service. In this light, we propose a coverage adjustment strategy for terrestrial base stations and UAPs. Simulation results show that the negative effect of burst service can be significantly mitigated, which verifies the effectiveness of the proposed strategy.

IEEE Transactions on Wireless CommunicationsVol. 24(6)
Xidian University (CN), Singapore University of Technology and Design (SG)
Climate action
Openalex Percentile: Top 13%
Advanced MIMO Systems Optimization
2.19
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Toward Disaster-Resistant Cellular Communication Networks Based on Network Capacity Scalability — Jiandong Li, Min Sheng, et al. · IEEE Transactions on Wireless Communications (2025) | TGRS Research Map | TGRS